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The Adoption of mHealth Apps Testing the UTAUT Model with Gamification Impact

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Advances in Human Factors and Ergonomics in Healthcare and Medical Devices (AHFE 2020)

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Abstract

The rising movement in technology led to an increase in mobile health (mHealth) applications (apps). Users are adopting these applications for several reasons, however, there is still no consensus on which factors affect user’s adoption the most. This study aims to identify and prioritize factors affecting the usability of mHealth apps using Analytic Hierarchy Process. The main goal is identified first then six main criteria and twenty-three sub-criteria are selected from existing literature review based on the Theory of Acceptance and Use of Technology and Gamification framework. The findings suggested that trustworthiness is the most important factor among the rest, following that competition, hence users prefer the opportunity to compete with others. Additionally, learnability was found the third important factor as the easiness. Moreover, the results suggested that the users’ feelings of enjoyment lead to motivation hence adoption. These findings are important to articulate the adoption behavior of mHealth apps.

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References

  1. Martínez-Pérez, B., De La Torre-Díez, I., López-Coronado, M.: Mobile health applications for the most prevalent conditions by the World Health Organization: review and analysis. J. Med. Internet Res. 15(6), e120 (2013)

    Google Scholar 

  2. Thirumurthy, H., Lester, R.T.: M-health for health behaviour change in resource-limited settings: applications to HIV care and beyond. Bull. World Health Organ. 90(5), 390–392 (2012)

    Google Scholar 

  3. McGowan Jr, O.W.: The impact of gamified mobile applications for disease management: case study pre-diabetic adolescents: ProQuest Dissertations Publishing (2016)

    Google Scholar 

  4. Gao, Y., Li, H., Luo, Y.: An empirical study of wearable technology acceptance in healthcare. Ind. Manag. Data Syst. 115(9), 1704–1723 (2015)

    Google Scholar 

  5. Zahra, F., Hussain, A., Mohd, H. (eds.): Usability factors of mobile health application for chronic diseases. In: AIP Conference Proceedings. AIP Publishing (2016)

    Google Scholar 

  6. Shareef, M.A., Kumar, V., Kumar, U., Hasin, A.A.: Application of behavioral theory in predicting consumers adoption behavior. J. Inf. Technol. Res. 6(4), 36–54 (2013)

    Google Scholar 

  7. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)

    Google Scholar 

  8. Lister, C., West, J.H., Cannon, B., Sax, T., Brodegard, D.: Just a fad? Gamification in health and fitness apps. JMIR Serious Games 2(2), e9 (2014)

    Google Scholar 

  9. Dwivedi, Y.K., Shareef, M.A., Simintiras, A.C., Lal, B., Weerakkody, V.: A generalised adoption model for services: A cross-country comparison of mobile health (m-health). Gov. Inf. Q. 33(1), 174–187 (2016)

    Google Scholar 

  10. Lester, R.T., van deer Kop, M., Taylor, D., Alasaly, K., Coleman, J., Marra, F.: mHealth: connecting patients to improve population and public health. BC Med. J. 53(5), 218 (2011)

    Google Scholar 

  11. Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., et al.: The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 10(1), e1001362 (2013)

    Google Scholar 

  12. Edney, S., Plotnikoff, R., Vandelanotte, C., Olds, T., Bourdeaudhuij, I.D., Ryan, J., et al.: “Active team” a social and gamified app-based physical activity intervention: randomised controlled trial study protocol. BMC Public Health 17, 859 (2017)

    Google Scholar 

  13. Maduku, D.K.: An empirical investigation of students’ behavioural intention to use e-books. Manag. Dyn. 24(3), 2 (2015)

    Google Scholar 

  14. Rodrigues, L., Costa, C., Oliveira, A. (eds.): How gamification can influence the web design and the customer to use the e-banking systems. ACM (2014)

    Google Scholar 

  15. AlAwadhi, S., Morris, A. (eds.): The use of the UTAUT model in the adoption of e-government services in Kuwait. In: Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 7–10 January 2008

    Google Scholar 

  16. Mosweu, O., Bwalya, K., Mutshewa, A.: Examining factors affecting the adoption and usage of document workflow management system (DWMS) using the UTAUT model: case of Botswana. Rec. Manag. J. 26(1), 38–67 (2016)

    Google Scholar 

  17. Peng, W., Kanthawala, S., Yuan, S., Hussain, S.A.: A qualitative study of user perceptions of mobile health apps. BMC Public Health 16(1), 1–11 (2016)

    Google Scholar 

  18. O’Connor, S., Hanlon, P., O’Donnell, C.A., Garcia, S., Glanville, J., Mair, F.S.: Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies. BMC Med. Inform. Decis. Mak. 16(1), 120 (2016)

    Google Scholar 

  19. Dehling, T., Taylor, P.L., Mandl, K.D.: Availability and quality of mobile health app privacy policies. J. Am. Med. Inform. Assoc. 22(e1), e28–e33 (2015)

    Google Scholar 

  20. Helbostad, J.L., Vereijken, B., Becker, C., Todd, C., Taraldsen, K., Pijnappels, M., et al.: Mobile health applications to promote active and healthy ageing. Sensors 17(3), 622 (2017)

    Google Scholar 

  21. Saadi, M.R., Ahmad, S.Z., Hussain, M.: Prioritization of citizens’ preferences for using mobile government services: the analytic hierarchy process (AHP) approach. In: Transforming Government: People, Process and Policy, pp. 476–503 (2017)

    Google Scholar 

  22. Hupka, M., Jan, U., Wichelhaus, D., Albrecht, U.-V.: Mobile technologies: expectancy, usage, and acceptance of clinical staff and patients at a University medical center. J. Med. Internet Res. 16(10), 1 (2014)

    Google Scholar 

  23. Nikou, S., Mezei, J.: Evaluation of mobile services and substantial adoption factors with analytic hierarchy process (AHP). Telecommun. Pol. 37(10), 915–929 (2013)

    Google Scholar 

  24. Munro, K.: Every move you make, every breath you take. The Age (Melbourne, Australia) (2015)

    Google Scholar 

  25. Saaty, T.L.: Optimization in Integers and Related Extremal Problems. McGraw-Hill, New York (1970)

    MATH  Google Scholar 

  26. Velasquez, M., Hester, P.T.: An analysis of multi-criteria decision-making methods. Int. J. Oper. Res. 10(2), 56–66 (2013)

    MathSciNet  Google Scholar 

  27. Ahmad, S.Z., Hussain, M.: The analytic hierarchy process of the decision-making factors of African students in obtaining higher education in the United Arab Emirates. Comp.: J. Comp. Int. Educ. 47(2), 163–176 (2017)

    Google Scholar 

  28. Vargas, L.G.: An overview of the analytic hierarchy process and its applications. Eur. J. Oper. Res. 48(1), 2–8 (1990)

    Google Scholar 

  29. Liberatore, M.J., Nydick, R.L.: The analytic hierarchy process in medical and health care decision making: a literature review. Eur. J. Oper. Res. 189(1), 194–207 (2008)

    MATH  Google Scholar 

  30. Saaty, T.L.: Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World. RWS Publication, Pittsburgh (2012)

    Google Scholar 

  31. Ramanathan, R.: A note on the use of the analytic hierarchy process for environmental impact assessment. J. Environ. Manag. 63(1), 27–35 (2001)

    Google Scholar 

  32. San Martín, H., Herrero, A.: Influence of the user’s psychological factors on the online purchase intention in rural tourism: integrating innovativeness to the UTAUT framework. Tour. Manag. 33(2), 341–350 (2012)

    Google Scholar 

  33. Spruijt-Metz, D., Nilsen, W.: Dynamic models of behavior for just-in-time adaptive interventions. IEEE Pervasive Comput. 13(3), 13–17 (2014)

    Google Scholar 

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Correspondence to Haseena Al Katheeri .

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Katheeri, H.A. (2020). The Adoption of mHealth Apps Testing the UTAUT Model with Gamification Impact. In: Kalra, J., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1205. Springer, Cham. https://doi.org/10.1007/978-3-030-50838-8_35

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  • DOI: https://doi.org/10.1007/978-3-030-50838-8_35

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-50838-8

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